Bravo
If ARM was an arm, BRN would be its biceps💪!
Last edited:
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Evening Diogenese,
Just orbiting on google and came upon this article, I think you have showen this schematic picture before yet I could not recall a release date.
Well....
EE News
Business news
8th March 2022.
RENESAS ,
R-CAR V4H,
Mass production scheduled for 2nd quarter 0f 2024.
Roughly 905.5 days away.
Hope this is new news if not , such is life
Regards,
Esq.
Last edited:
S
Straw
Guest
I want to see a Python explanation of buoyancy/displacement that'd be a coup.
Hi Everyone...thought I'd pop by and say hello 
Yes, I can confirm that some staff are working massive hours, I won't name anybody in particular.
Let's just say that they are both very brainy and very chippy.
I did receive a private message recently from one of our long termers, and I did suggest we were more than likely going sub 1 dollar and that he should consider taking a little profit off the table and reset himself for the remainder of 2022.
Having observed this market trading, as many others would have, I'm 100% convinced that a number of robotic programs have once again become rather active, especially when we broke through the $1.20 mark, coupled with the Russian invasion, the writing was on the wall, southwards we go, like most stocks.
It hurts to see our share price slide....BUT...just remember these important points.
You invested in top quality individuals.
You invested in brilliant, proven technology.
You invested because of some of the major tier 1 companies that have to date been made public, with many, many more in the wings, remember, if Peter & Anil could name all the EAP's they would !!..it's just as frustrating for the company as it is for us, but for long term business relationships, we must respect their wishes.
Currently you are invested in a company with a Market Cap of around 1.75 Billion AUD, which means deals MUST be signed this year, the market needs to see it and so do we, it can't be sugar coated for another 24 months, our cash burn has already been confirmed to increase rather dramatically (my wording) so the company is well aware of what the shareholders expect to see and hear during this year especially.
The world instability, what with China, Iran, Russian all firing up, the US domestic unrest with that fool Biden at the helm, the markets worldwide do the same thing every time, people panic and sometimes for very good reasons, but as far as our company is concerned, we have never been in such a strong position.
Fundamentally Sound.
Brilliant, Proven Technology.
World Class Products Emerging.
Calmer times will return, and the strong will survive, and that's BRAINCHIP INC.
Good evening from Perth.....Tech.
Yes, I can confirm that some staff are working massive hours, I won't name anybody in particular.
Let's just say that they are both very brainy and very chippy.
I did receive a private message recently from one of our long termers, and I did suggest we were more than likely going sub 1 dollar and that he should consider taking a little profit off the table and reset himself for the remainder of 2022.
Having observed this market trading, as many others would have, I'm 100% convinced that a number of robotic programs have once again become rather active, especially when we broke through the $1.20 mark, coupled with the Russian invasion, the writing was on the wall, southwards we go, like most stocks.
It hurts to see our share price slide....BUT...just remember these important points.
You invested in top quality individuals.
You invested in brilliant, proven technology.
You invested because of some of the major tier 1 companies that have to date been made public, with many, many more in the wings, remember, if Peter & Anil could name all the EAP's they would !!..it's just as frustrating for the company as it is for us, but for long term business relationships, we must respect their wishes.
Currently you are invested in a company with a Market Cap of around 1.75 Billion AUD, which means deals MUST be signed this year, the market needs to see it and so do we, it can't be sugar coated for another 24 months, our cash burn has already been confirmed to increase rather dramatically (my wording) so the company is well aware of what the shareholders expect to see and hear during this year especially.
The world instability, what with China, Iran, Russian all firing up, the US domestic unrest with that fool Biden at the helm, the markets worldwide do the same thing every time, people panic and sometimes for very good reasons, but as far as our company is concerned, we have never been in such a strong position.
Fundamentally Sound.
Brilliant, Proven Technology.
World Class Products Emerging.
Calmer times will return, and the strong will survive, and that's BRAINCHIP INC.
Good evening from Perth.....Tech.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Hi Everyone...thought I'd pop by and say hello
Yes, I can confirm that some staff are working massive hours, I won't name anybody in particular.
Let's just say that they are both very brainy and very chippy.
I did receive a private message recently from one of our long termers, and I did suggest we were more than likely going sub 1 dollar and that he should consider taking a little profit off the table and reset himself for the remainder of 2022.
Having observed this market trading, as many others would have, I'm 100% convinced that a number of robotic programs have once again become rather active, especially when we broke through the $1.20 mark, coupled with the Russian invasion, the writing was on the wall, southwards we go, like most stocks.
It hurts to see our share price slide....BUT...just remember these important points.
You invested in top quality individuals.
You invested in brilliant, proven technology.
You invested because of some of the major tier 1 companies that have to date been made public, with many, many more in the wings, remember, if Peter & Anil could name all the EAP's they would !!..it's just as frustrating for the company as it is for us, but for long term business relationships, we must respect their wishes.
Currently you are invested in a company with a Market Cap of around 1.75 Billion AUD, which means deals MUST be signed this year, the market needs to see it and so do we, it can't be sugar coated for another 24 months, our cash burn has already been confirmed to increase rather dramatically (my wording) so the company is well aware of what the shareholders expect to see and hear during this year especially.
The world instability, what with China, Iran, Russian all firing up, the US domestic unrest with that fool Biden at the helm, the markets worldwide do the same thing every time, people panic and sometimes for very good reasons, but as far as our company is concerned, we have never been in such a strong position.
Fundamentally Sound.
Brilliant, Proven Technology.
World Class Products Emerging.
Calmer times will return, and the strong will survive, and that's BRAINCHIP INC.
Good evening from Perth.....Tech.
Can't touch my BRN shares!
Used to love this at the nightclubs, always up on the dance floor going for it...hahaha...
Didn't I see you in Riverdance, Bravo??? Drop-dead gorgeous!! *PMP*
If you don't have dreams, you can't have dreams come true!
Fullmoonfever
Top 20
Nice to get a mention in Forbes article via 2022 "Intelligent Edge" Technologies (Moor Insights & Strategy) in Table 2
Also kinda liked a number of the usual "brand" names not tossed in as examples...hmmmm
My red emphasis under NPUs.
www.forbes.com
Every year, after the CES dust settles, I take a step back and rank the most disruptive IoT-related technology trends. This year’s list signals the approach of a significant inflection point in the IoT growth curve.
2022 IoT Technology Trends
MOOR INSIGHTS & STRATEGY
These three developments accelerate IoT’s ongoing transformation from a hodge-podge of custom solutions into a growth industry built on platforms that plug-and-play within a software continuum extending from cloud services to edge devices. Plug-and-play platforms defragmented PCs and smartphones in the 2000s. The same thing is happening with IoT platforms, but the process is slower and more complicated because of the extreme diversity of devices.
Let’s look at each trend from a business perspective to see how smarter devices, standard device platforms, and open networks remove growth barriers and make the IoT more investable across all market segments.
Edge intelligence
Typical IoT devices have surprisingly little processing power because they act as “peripherals” to services running in the cloud or on-premises. These services ingest and analyze sensor data, trigger appropriate actions, send commands back down to devices, and interface with other services. A new generation of smarter edge platforms capable of autonomously running complex application software is now disrupting the peripheral model, which has been the norm for over 20 years.
Autonomous on-device analysis decreases response times while improving reliability and privacy for applications such as anomaly detection, predictive maintenance, wake-word recognition, image classification, and gesture control. Smarter devices also simplify development, shorten TTM, and reduce operating costs by enabling mainstream software development methods that do not require specialized embedded programming techniques. This year, four disruptive technologies combine to accelerate the edge intelligence trend.
2022 "Intelligent Edge" Technologies.
MOOR INSIGHTS & STRATEGY
Here’s how IoT solution developers leverage these technologies to build increasingly intelligent edge applications.
Larger processors enable on-device applications to analyze and act on sensor data locally instead of sending it to the cloud for processing. Bigger chips also reduce device development costs and TTM by supporting advanced programming methods and tools such as cloud-native development and containerized software. Development productivity also increases as we move away from low-level embedded techniques and embrace modern, cloud-native software engineering methods.
Neural processors and accelerators (NPUs) enable edge devices to run surprisingly large ML inference applications. Until recently, math-heavy AI algorithms were practical only on large processors. New ML-accelerated chips enable small IoT devices, including battery-powered ones, to run ML inference applications locally without depending on cloud services. Welcome to the brave new world with AI integrated into the things all around us.
ML development on small devices has always been challenging because mainstream cloud-native machine learning code, models, and tools are not optimized for small platforms. In 2019, the tinyML Foundation started a new way of thinking about on-device ML by sharing ideas and experiences for ML applications on low-power devices. ML developers found ways to target small (down to 100kB and below), low-power (milliwatt) devices using familiar languages, tools, libraries, and workflows. Leveraging these concepts, Edge Impulse and other startups provide cloud-based development environments and run-time libraries that directly support many small IoT platforms, with or without NPUs. Cloud-native ML development brings AI functionality to low-power, always-on devices at the edge of the network.
IoT-specific SoCs are already available that integrate many of the function blocks needed to build complete IoT devices. This year, we see a new wave of highly integrated chips with all the functions typically needed for many IoT devices, including wireless radio subsystems (Wi-Fi, 802.15.4, Bluetooth), math accelerators, I/O, more RAM, more flash, and built-in security. New SoCs such as the Silicon Labs MG24 and NXP IW612 are good examples. Arm takes a higher-level approach, providing its ecosystem partners with chip design guidance through initiatives such as Arm Total Solutions for IoT, Arm System Ready, and Corstone. Arm’s Project Cassini and Project Centauri offer consistent system and security software, further accelerating chip development.
When I tell the “edge intelligence” story, developers often ask about device cost. “Sounds great, but how do I justify more expensive devices?” Although complex chips are more expensive than simple ones, the benefits of new application features, efficient development, built-in security, faster TTM, and longer product life offset the higher cost. Strong business cases make edge intelligence the new “north star” driving IoT innovation across all market segments.
IoT Device platform convergence
Developing code on small IoT devices is often like returning to the 1990s or even the 1980s. Embedded device OSes and programming techniques evolved on small, highly constrained chips designed for dedicated purposes. So, the computational performance, memory, storage, and system features in typical embedded SoCs are the bare minimum required to run a specific application. That’s not usually enough horsepower to support the mainstream OSes, software tools, and DevOps commonly used on general-purpose platforms. Embedded software remains stuck in the past with customized OSes, DIY system configurations, waterfall development, and a dearth of re-usable software components. Consequently, IoT developers spend too much time working on system-level code instead of focusing on applications.
Agile DevOps, standard Linux distros, cloud-native development, microservices, containers, and serverless code are already available on larger edge platforms with powerful processors that can run off-the-shelf, general-purpose OS distributions. These modern tools and techniques dramatically improve developer productivity and solution quality while reducing development cost and risk. The business benefits are predictable because we’ve seen similar scenarios before. Windows, Linux, IOS, and Android defragmented PC and smartphone operating systems, creating large-scale, multivendor software and hardware markets. Similar defragmentation is already happening on embedded MPUs (microprocessors), but MCUs (microcontrollers) are on a slower path. Let’s cover MPUs first.
2022 IoT Device Platform Fragmentation
MOOR INSIGHTS & STRATEGY
MPUs for embedded applications are scaled-down versions of PC and smartphone processors. MPUs usually run embedded versions of Linux, but off-the-shelf distributions are too big. Squeezing Linux down to an appropriate size requires creating a unique OS configuration for each solution with only the packages needed for the target platform and applications. OS building, customization, testing, debugging, updating, and long-term support are very costly and don’t add any solution value or product differentiation. Also, there’s no ISV market or app store for IoT devices because each IoT solution has a unique software environment. IoT solution development is expensive, slow, and risky primarily because device software engineers have to build custom OSes and write system code instead of just focusing on applications.
IoT platform OS customization isn’t going away for the foreseeable future, but new automated build systems that simplify Linux customization are now available. These new tools (1) do not require deep Linux expertise, (2) are not hardware dependent, and (3) allow continuous builds with long-term support. Two open-source build systems – Buildroot and Yocto – have been around for many years. While Buildroot is simple and fast, Yocto supports continuous integration and uses a layer model for modular customization. But both of these build systems require considerable Linux expertise, have a steep learning curve, and don’t provide an IoT-friendly update service.
This situation opens up some lucrative business opportunities. For instance, Foundries.io is a cloud service that leverages Yocto to simplify building, testing, securing, deploying, and maintaining custom Linux platforms. Application developers without deep Linux skills can use FoundriesFactory to build maintainable, updateable OSes from standard distributions. The tools are hardware independent with support for Arm, x86, and RISC-V processors from multiple chip companies – no hardware lock-in. And, there’s an OSTree-based versioning system for incremental updates with OTA cloud delivery – no re-imaging of devices in the field. Cloud-native developers can start building component-based applications right away using Docker Compose – no need for system-level programming. FoundriesFactory also integrates with multiple device management systems and cloud frameworks. The business model makes sense, too, charging a fixed subscription fee that’s much less than the cost of one Linux expert – and no per-unit fees. The combination of automated Linux builds, managed security, incremental OTA updates, and long-term support allows solution developers to focus on adding value and avoid undifferentiated system programming.
MCUs optimized for dedicated, low-power applications are simpler and more architecturally diverse than MPUs. MCUs don’t have the advanced features needed to run Linux, such as virtual memory support, so using general-purpose Linux-based OSes is not an option. Instead, there are dozens of specialized MCU OSes with compelling attributes for specific platforms and use-cases.
MCU OS defragmentation is already underway, and the leading OSes have support from hyperscale cloud frameworks and chip ecosystems. FreeRTOS (AWS), Azure RTOS/ThreadX (Microsoft), and Zephyr (Linux Foundation, Wind River Systems, Intel, NXP, Google, Meta, Linaro, Qualcomm, and others) are three examples, and there are many more. I expect clear winners to emerge next year due to natural selection. Although we’ll still have many RTOSes for the foreseeable future, cloud-based configuration tools and update services for MCUs can deliver the efficiencies described above for MPUs. However, it’ll take longer because of the greater diversity of hardware and OSes.
Matter revolutionizes consumer IoT
CES 2022 product announcements mark the end of the consumer IoT “connectivity wars.” After 20 years of incompatible radios, proprietary protocols, vertical product silos, annoying gateway (hub) devices, bafflingly confusing device onboarding procedures, and unnecessarily high device costs, the consumer electronics industry is rapidly adopting two new practical, scalable, and open connectivity standards – Matter and Thread.
Thread is a low-power mesh network like Zigbee and Z-Wave, but it sends data using internet protocols (IP) compatible with Wi-Fi and Ethernet. Matter defines the messages that travel over those IP networks so that devices from any manufacturer can communicate with any Matter-compatible ecosystem – Alexa, Google Home, or HomeKit, for example. The vision of buying a smart home device from any manufacturer with confidence that it’ll work with your existing network and chosen ecosystem(s) is finally becoming a reality.
Rapid adoption is likely because Amazon, Apple, Google, and over 200 companies are on board and announcing products. Beginning this year, consumers can buy connected products such as door locks, window shades, light switches, thermostats, and cameras that plug-and-play with existing home networks and ecosystems. There’s no vendor lock-in, nothing extra to buy, no complicated hub to configure, and setup is a few clicks on a smartphone app. At CES, dozens of companies announced products supporting Matter and Thread, and hundreds more are on the way. The trend towards Matter and Thread is rapidly becoming a gold rush as influential companies stake claims.
Although Matter and Thread target consumer applications, Thread is already used in industrial verticals, and Matter is influencing other standards organizations to create similar IP-based protocols for commercial domains. IP-BLiS, for instance, aims to align commercial building automation industry alliances around a common IP-based application framework. We’re finally putting the “I” in “IoT.”
Summary: Plug-and-play IoT
IoT growth lags projections because most endpoint devices are constrained, fixed-function platforms with customized embedded software stacks communicating over dedicated, non-interoperable networks. AI-capable SoCs, converged platforms, and interoperable networks address these growth barriers, transforming IoT devices from underpowered embedded gadgets to scalable compute nodes that use modern software tools and DevOps. This fundamental change to IoT economics plays out over several years, but we’ll look back on 2022 as the start of the IoT plug-and-play era.
Note: Moor Insights & Strategy writers and editors may have contributed to this article.
Also kinda liked a number of the usual "brand" names not tossed in as examples...hmmmm
My red emphasis under NPUs.
2022 IoT Technology Trends The Era Of IoT Plug-And-Play Begins
Analyst-in-Residence, Industrial IoT and IoT Technology dives in and takes a closer at, Edge Intelligence, Device Platform Convergence and Matter to look at each trend to see how smarter devices with defragmented platform software and interoperable networks remove IoT growth barriers.
www.forbes.com
Every year, after the CES dust settles, I take a step back and rank the most disruptive IoT-related technology trends. This year’s list signals the approach of a significant inflection point in the IoT growth curve.
2022 IoT Technology Trends
MOOR INSIGHTS & STRATEGY
These three developments accelerate IoT’s ongoing transformation from a hodge-podge of custom solutions into a growth industry built on platforms that plug-and-play within a software continuum extending from cloud services to edge devices. Plug-and-play platforms defragmented PCs and smartphones in the 2000s. The same thing is happening with IoT platforms, but the process is slower and more complicated because of the extreme diversity of devices.
Let’s look at each trend from a business perspective to see how smarter devices, standard device platforms, and open networks remove growth barriers and make the IoT more investable across all market segments.
Edge intelligence
Typical IoT devices have surprisingly little processing power because they act as “peripherals” to services running in the cloud or on-premises. These services ingest and analyze sensor data, trigger appropriate actions, send commands back down to devices, and interface with other services. A new generation of smarter edge platforms capable of autonomously running complex application software is now disrupting the peripheral model, which has been the norm for over 20 years.
Autonomous on-device analysis decreases response times while improving reliability and privacy for applications such as anomaly detection, predictive maintenance, wake-word recognition, image classification, and gesture control. Smarter devices also simplify development, shorten TTM, and reduce operating costs by enabling mainstream software development methods that do not require specialized embedded programming techniques. This year, four disruptive technologies combine to accelerate the edge intelligence trend.
2022 "Intelligent Edge" Technologies.
MOOR INSIGHTS & STRATEGY
Here’s how IoT solution developers leverage these technologies to build increasingly intelligent edge applications.
Larger processors enable on-device applications to analyze and act on sensor data locally instead of sending it to the cloud for processing. Bigger chips also reduce device development costs and TTM by supporting advanced programming methods and tools such as cloud-native development and containerized software. Development productivity also increases as we move away from low-level embedded techniques and embrace modern, cloud-native software engineering methods.
Neural processors and accelerators (NPUs) enable edge devices to run surprisingly large ML inference applications. Until recently, math-heavy AI algorithms were practical only on large processors. New ML-accelerated chips enable small IoT devices, including battery-powered ones, to run ML inference applications locally without depending on cloud services. Welcome to the brave new world with AI integrated into the things all around us.
ML development on small devices has always been challenging because mainstream cloud-native machine learning code, models, and tools are not optimized for small platforms. In 2019, the tinyML Foundation started a new way of thinking about on-device ML by sharing ideas and experiences for ML applications on low-power devices. ML developers found ways to target small (down to 100kB and below), low-power (milliwatt) devices using familiar languages, tools, libraries, and workflows. Leveraging these concepts, Edge Impulse and other startups provide cloud-based development environments and run-time libraries that directly support many small IoT platforms, with or without NPUs. Cloud-native ML development brings AI functionality to low-power, always-on devices at the edge of the network.
IoT-specific SoCs are already available that integrate many of the function blocks needed to build complete IoT devices. This year, we see a new wave of highly integrated chips with all the functions typically needed for many IoT devices, including wireless radio subsystems (Wi-Fi, 802.15.4, Bluetooth), math accelerators, I/O, more RAM, more flash, and built-in security. New SoCs such as the Silicon Labs MG24 and NXP IW612 are good examples. Arm takes a higher-level approach, providing its ecosystem partners with chip design guidance through initiatives such as Arm Total Solutions for IoT, Arm System Ready, and Corstone. Arm’s Project Cassini and Project Centauri offer consistent system and security software, further accelerating chip development.
When I tell the “edge intelligence” story, developers often ask about device cost. “Sounds great, but how do I justify more expensive devices?” Although complex chips are more expensive than simple ones, the benefits of new application features, efficient development, built-in security, faster TTM, and longer product life offset the higher cost. Strong business cases make edge intelligence the new “north star” driving IoT innovation across all market segments.
IoT Device platform convergence
Developing code on small IoT devices is often like returning to the 1990s or even the 1980s. Embedded device OSes and programming techniques evolved on small, highly constrained chips designed for dedicated purposes. So, the computational performance, memory, storage, and system features in typical embedded SoCs are the bare minimum required to run a specific application. That’s not usually enough horsepower to support the mainstream OSes, software tools, and DevOps commonly used on general-purpose platforms. Embedded software remains stuck in the past with customized OSes, DIY system configurations, waterfall development, and a dearth of re-usable software components. Consequently, IoT developers spend too much time working on system-level code instead of focusing on applications.
Agile DevOps, standard Linux distros, cloud-native development, microservices, containers, and serverless code are already available on larger edge platforms with powerful processors that can run off-the-shelf, general-purpose OS distributions. These modern tools and techniques dramatically improve developer productivity and solution quality while reducing development cost and risk. The business benefits are predictable because we’ve seen similar scenarios before. Windows, Linux, IOS, and Android defragmented PC and smartphone operating systems, creating large-scale, multivendor software and hardware markets. Similar defragmentation is already happening on embedded MPUs (microprocessors), but MCUs (microcontrollers) are on a slower path. Let’s cover MPUs first.
2022 IoT Device Platform Fragmentation
MOOR INSIGHTS & STRATEGY
MPUs for embedded applications are scaled-down versions of PC and smartphone processors. MPUs usually run embedded versions of Linux, but off-the-shelf distributions are too big. Squeezing Linux down to an appropriate size requires creating a unique OS configuration for each solution with only the packages needed for the target platform and applications. OS building, customization, testing, debugging, updating, and long-term support are very costly and don’t add any solution value or product differentiation. Also, there’s no ISV market or app store for IoT devices because each IoT solution has a unique software environment. IoT solution development is expensive, slow, and risky primarily because device software engineers have to build custom OSes and write system code instead of just focusing on applications.
IoT platform OS customization isn’t going away for the foreseeable future, but new automated build systems that simplify Linux customization are now available. These new tools (1) do not require deep Linux expertise, (2) are not hardware dependent, and (3) allow continuous builds with long-term support. Two open-source build systems – Buildroot and Yocto – have been around for many years. While Buildroot is simple and fast, Yocto supports continuous integration and uses a layer model for modular customization. But both of these build systems require considerable Linux expertise, have a steep learning curve, and don’t provide an IoT-friendly update service.
This situation opens up some lucrative business opportunities. For instance, Foundries.io is a cloud service that leverages Yocto to simplify building, testing, securing, deploying, and maintaining custom Linux platforms. Application developers without deep Linux skills can use FoundriesFactory to build maintainable, updateable OSes from standard distributions. The tools are hardware independent with support for Arm, x86, and RISC-V processors from multiple chip companies – no hardware lock-in. And, there’s an OSTree-based versioning system for incremental updates with OTA cloud delivery – no re-imaging of devices in the field. Cloud-native developers can start building component-based applications right away using Docker Compose – no need for system-level programming. FoundriesFactory also integrates with multiple device management systems and cloud frameworks. The business model makes sense, too, charging a fixed subscription fee that’s much less than the cost of one Linux expert – and no per-unit fees. The combination of automated Linux builds, managed security, incremental OTA updates, and long-term support allows solution developers to focus on adding value and avoid undifferentiated system programming.
MCUs optimized for dedicated, low-power applications are simpler and more architecturally diverse than MPUs. MCUs don’t have the advanced features needed to run Linux, such as virtual memory support, so using general-purpose Linux-based OSes is not an option. Instead, there are dozens of specialized MCU OSes with compelling attributes for specific platforms and use-cases.
MCU OS defragmentation is already underway, and the leading OSes have support from hyperscale cloud frameworks and chip ecosystems. FreeRTOS (AWS), Azure RTOS/ThreadX (Microsoft), and Zephyr (Linux Foundation, Wind River Systems, Intel, NXP, Google, Meta, Linaro, Qualcomm, and others) are three examples, and there are many more. I expect clear winners to emerge next year due to natural selection. Although we’ll still have many RTOSes for the foreseeable future, cloud-based configuration tools and update services for MCUs can deliver the efficiencies described above for MPUs. However, it’ll take longer because of the greater diversity of hardware and OSes.
Matter revolutionizes consumer IoT
CES 2022 product announcements mark the end of the consumer IoT “connectivity wars.” After 20 years of incompatible radios, proprietary protocols, vertical product silos, annoying gateway (hub) devices, bafflingly confusing device onboarding procedures, and unnecessarily high device costs, the consumer electronics industry is rapidly adopting two new practical, scalable, and open connectivity standards – Matter and Thread.
- Matter – “Lingua franca” for the Internet of Things
- Thread – IP-based mesh network for low power devices
Thread is a low-power mesh network like Zigbee and Z-Wave, but it sends data using internet protocols (IP) compatible with Wi-Fi and Ethernet. Matter defines the messages that travel over those IP networks so that devices from any manufacturer can communicate with any Matter-compatible ecosystem – Alexa, Google Home, or HomeKit, for example. The vision of buying a smart home device from any manufacturer with confidence that it’ll work with your existing network and chosen ecosystem(s) is finally becoming a reality.
Rapid adoption is likely because Amazon, Apple, Google, and over 200 companies are on board and announcing products. Beginning this year, consumers can buy connected products such as door locks, window shades, light switches, thermostats, and cameras that plug-and-play with existing home networks and ecosystems. There’s no vendor lock-in, nothing extra to buy, no complicated hub to configure, and setup is a few clicks on a smartphone app. At CES, dozens of companies announced products supporting Matter and Thread, and hundreds more are on the way. The trend towards Matter and Thread is rapidly becoming a gold rush as influential companies stake claims.
Although Matter and Thread target consumer applications, Thread is already used in industrial verticals, and Matter is influencing other standards organizations to create similar IP-based protocols for commercial domains. IP-BLiS, for instance, aims to align commercial building automation industry alliances around a common IP-based application framework. We’re finally putting the “I” in “IoT.”
Summary: Plug-and-play IoT
IoT growth lags projections because most endpoint devices are constrained, fixed-function platforms with customized embedded software stacks communicating over dedicated, non-interoperable networks. AI-capable SoCs, converged platforms, and interoperable networks address these growth barriers, transforming IoT devices from underpowered embedded gadgets to scalable compute nodes that use modern software tools and DevOps. This fundamental change to IoT economics plays out over several years, but we’ll look back on 2022 as the start of the IoT plug-and-play era.
Note: Moor Insights & Strategy writers and editors may have contributed to this article.
Techinvestor17
Regular
Dallas
Regular
Wer aktuell kein neues Gerät kaufen möchte, könnte sich zumindest informieren, wann die neue iPhone-Software iOS 15.4 erscheint. Damit können Sie erstmals ein iPhone per Face ID-Gesichtserkennung entsperren, wenn Sie eine Maske tragen. https://www.bild.de/digital/smartph...es-iphone-und-ein-ipad-air-79379850.bild.html
Whispering Bob
Member
Zalensky is uniting the world in a way that brings a grown man to tears, once he is taken out there is no more Ukraine and then we'll see. Amongst all of this I see Brainchip benefiting from increased defence spending - a slightly optimistic view sitting 800m from the UN/EU institutions in a tense Brussels.Hi Everyone...thought I'd pop by and say hello
Yes, I can confirm that some staff are working massive hours, I won't name anybody in particular.
Let's just say that they are both very brainy and very chippy.
I did receive a private message recently from one of our long termers, and I did suggest we were more than likely going sub 1 dollar and that he should consider taking a little profit off the table and reset himself for the remainder of 2022.
Having observed this market trading, as many others would have, I'm 100% convinced that a number of robotic programs have once again become rather active, especially when we broke through the $1.20 mark, coupled with the Russian invasion, the writing was on the wall, southwards we go, like most stocks.
It hurts to see our share price slide....BUT...just remember these important points.
You invested in top quality individuals.
You invested in brilliant, proven technology.
You invested because of some of the major tier 1 companies that have to date been made public, with many, many more in the wings, remember, if Peter & Anil could name all the EAP's they would !!..it's just as frustrating for the company as it is for us, but for long term business relationships, we must respect their wishes.
Currently you are invested in a company with a Market Cap of around 1.75 Billion AUD, which means deals MUST be signed this year, the market needs to see it and so do we, it can't be sugar coated for another 24 months, our cash burn has already been confirmed to increase rather dramatically (my wording) so the company is well aware of what the shareholders expect to see and hear during this year especially.
The world instability, what with China, Iran, Russian all firing up, the US domestic unrest with that fool Biden at the helm, the markets worldwide do the same thing every time, people panic and sometimes for very good reasons, but as far as our company is concerned, we have never been in such a strong position.
Fundamentally Sound.
Brilliant, Proven Technology.
World Class Products Emerging.
Calmer times will return, and the strong will survive, and that's BRAINCHIP INC.
Good evening from Perth.....Tech.
Krustor
Regular
Hopefully Wolodymyr Oleksandrowytsch Selenskyj (Please take your time to write his name correctly) won't be "taken out". This outstanding man is doing his Job in a very glourious manner. For sure, this conflict will eventually help BRN in military business... I personally dont give a sh*t if it does not. We have plenty of other opportunities in the BRN-pipeline!
I will stay long - also if it drops from $1 to Ct1 - if Selenskyj falls we, and the next generations will have way other Problems than our current Investment.
Sorry for this personal thoughts and for not beeing able to express my feelings in better english as I am not a native speeking.
Glory for Ukraine!
Whispering Bob
Member
Thanks for the name mate, another school day
Dallas
Regular
AKiTiO eGPU over Thunderbolt 3, PCIe Expansion, RAID Storage
Akitio designs and produces Thunderbolt 3 PCIe expansion boxes for external GPUs (eGPU), 10GbE Ethernet and other add-on cards and external RAID storage drives.
D
Deleted member 118
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BrainChip Stock Forecast | Is BrainChip a Good Stock to Buy? | Capital.com
Has the share price for the AI firm bottomed out after shedding value for most of 2022? Is it time to buy or go short? Read on for the latest BrainChip stock forecast analysis. 82.78% of investors lose money.
capital.com
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I am wearing my special glasses today. Its not just my ASX, everything is red to me equally. Yeah I feel better now.
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